Vensim Simulation Models

Practical Exercises of System Dynamics

Author: Juan Martín García

Publisher: Juan Martín García



Page: N.A

View: 5674


PRACTICAL EXERCISES WITH VENSIM Environmental Area 3.1. Population Growth 3.2. Modeling the Ecology of a Natural Reserve 3.3. Effects of the Intensive Farming 3.4. The Fishery of Shrimp 3.5. Rabbits and Foxes 3.6. A Study of Hogs 3.7. Ingestion of Toxins 3.8. The Barays of Angkor 3.9. The Golden Number Management Area 3.10. Production and Inventory 3.11. CO2 Emissions 3.12. How to Work More and Better 3.13. Faults 3.14. Project Dynamics 3.15. Innovatory Companies 3.16. Quality Control 3.17. The impact of a Business Plan Social Area 3.18. Filling a Glass 3.19. A Catastrophe Study 3.20. The Young Ambitious Worker 3.21. Development of an Epidemic 3.22. The Dynamics of Two Clocks Mechanical Area 3.23. The Tank 3.24. Study of the Oscillatory Movements 3.25. Design of a Chemical Reactor 3.26. The Butterfly Effect 3.27. The Mysterious Lamp ANNEX I. Guide to creating a model II. Functions, Tables and Delays III. Frequently Asked Questions FAQs

Practical Exercises of System Dynamics

System Dynamics. Simulation and models with Vensim PLE. Preface John Sterman

Author: Juan Martín García

Publisher: Juan Martín García

ISBN: 8460998045

Category: Biological systems

Page: 282

View: 4611


This book is a guide that shows step by step the process of building simulation models using System Dynamics. It is written in a clear and comprehensible style that illustrates the model construction process. This book will be a useful resource to students, scholars, researchers, and teachers.

Theory and Practical Exercises of System Dynamics

Author: Mart

Publisher: Vensim

ISBN: 9781718096264

Category: Education

Page: 282

View: 374


The System Dynamics finds its main applications in the complex and ill-defined environments, where the decisions of the human being intervene. The point of view of the System Dynamics is radically different from that of other techniques applied to the construction of models of socioeconomic systems, such as econometrics based on a behavioral approach. The basic objective of System Dynamics is to understand the structural causes that cause the behavior of the system.The System Dynamics allows the construction of models after a careful analysis of the elements of the system. This analysis allows to extract the internal logic of the model, and with it to try an understanding of the long-term evolution of the system.There is an extensive bibliography on System Dynamics, this book provides a clear and orderly vision of how to build a simulation model with this technique.Practical Exercises of System DynamicsEnvironmental System Dynamics4.1. Population Growth 4.2. Modeling the Ecology of a Natural Reserve 4.3. Effects of the Intensive Farming 4.4. The Fishery of Shrimp 4.5. Rabbits and Foxes 4.6. A Study of Hogs 4.7. Ingestion of Toxins 4.8. The Barays of Angkor Management System Dynamics4.9. Production and Inventory 4.10. CO2 Emissions 4.11. How to work more and better 4.12. Faults 4.13. Project Dynamics 4.14. Innovatory Companies 4.15. Quality Control 4.16. The impact of a Business Plan Social System Dynamics4.17. Filling a Glass 4.18. Dynamics of a Segmented Population 4.19. The Young Ambitious Worker 4.20. Development of an Epidemic 4.21. The Dynamics of Two Clocks Mechanical System Dynamics4.22. The Tank 4.23. Study of the Oscillatory Movements 4.24. Design of a Chemical Reactor System Dynamics finds its main applications in the complex and ill-defined environments. System Dynamics is radically different from other techniques applied to the construction of models of socioeconomic systems, such as econometrics based on a behavioral approach. The basic objective of System Dynamics is to understand the structure that causes the behavior of the system. System Dynamics allows the construction of models after a careful analysis of the elements of the system. This book provides a clear and orderly vision of how to build a simulation model with System Dynamics.Theory and Practical Exercises of System DynamicsJuan Martin Garcia, Ph. D. Industrial Engineer (Spain), Diploma in Business Dynamics at the Sloan School of Management of the Massachusetts Institute of Technology MIT (USA). He has given classes of building models during the last 20 years in several universities and now it teaches Vensim online courses in http: // based on System Dynamics

Elements of System-Dynamic Simulation

A Textbook with Exercises

Author: Th J. Ferrari

Publisher: Halsted Press


Category: Technology & Engineering

Page: 89

View: 1114


This book assumes that the reader does not have much knowledge of mathematics. Therefore, the essentials of the necessary mathematics is gradually introduced. It emphasizes the practical applications of the system-dynamics concept by providing working problems and solutions. Experience shows that the concepts and principles of system-dynamics are fairly easy to learn but are difficult to convert into the language of system-dynamics. Examples and problems are taken from different disciplines like physics, chemistry, process control, biology, ecology, hydrology, environmental health science, economics, social science etc. The problems are so treated that readers from other disciplines can solve them with system-dynamics. The advantage of this approach is that the reader becomes aware of the way problems from various disciplines can be described and explained analogously. This is important for an interdisciplinary approach to the problems.

Dynamics of Physical Systems

Author: Robert H., Jr. Cannon

Publisher: Courier Corporation

ISBN: 0486139697

Category: Technology & Engineering

Page: 928

View: 1886


Comprehensive text and reference covers modeling of physical systems in several media, derivation of differential equations of motion and related physical behavior, dynamic stability and natural behavior, more. 1967 edition.

Dynamic Systems

Modeling, Simulation, and Control

Author: Raymond C. Kluever,Craig A. Kluever

Publisher: John Wiley & Sons

ISBN: 1118289455

Category: Mathematics

Page: 496

View: 2501


Wiley introduces a new offering in dynamic systems—Dynamic Systems: Modeling, Simulation, and Control by Craig Kluever. This text highlights essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical and fluid subsystem components. Dynamic Systems: Modeling, Simulation, and Control is intended for an introductory course in dynamic systems and control, and written for mechanical engineering and other engineering curricula. Major topics covered in this text include mathematical modeling, system-response analysis, and an introduction to feedback control systems. Dynamic Systems integrates an early introduction to numerical simulation using MATLAB®’s Simulink for integrated systems. Simulink® and MATLAB® tutorials for both software programs will also be provided. The author’s text also has a strong emphasis on real-world case studies. Derived from top-tier engineering from the AMSE Journal of Dynamic Systems, Measurement, and Control, case studies are leveraged to demonstrate fundamental concepts as well as the analysis of complex engineering systems. In addition, Dynamic Systems delivers a wide variety of end of chapter problems, including conceptual problems, MATLAB® problems, and Engineering Application problems.

Agent-Based and Individual-Based Modeling

A Practical Introduction

Author: Steven F. Railsback,Volker Grimm

Publisher: Princeton University Press

ISBN: 0691136742

Category: Science

Page: 329

View: 2390


Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Provides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogo Filled with examples and exercises, with updates and supplementary materials at Designed for students and researchers across the biological and social sciences Written by leading practitioners Leading universities that have adopted this book include: Amherst College Brigham Young University Carnegie Mellon University Cornell University Miami University Northwestern University Old Dominion University Portland State University Rhodes College Susquehanna University University College, Dublin University of Arizona University of British Columbia University of Michigan University of South Florida University of Texas at Austin University of Virginia

Modelling Systems

Practical Tools and Techniques in Software Development

Author: John Fitzgerald,Peter Gorm Larsen

Publisher: Cambridge University Press

ISBN: 0521899117

Category: Computers

Page: 288

View: 1280


How can we make sure that the software we build does what it is supposed to? This book provides an insight into established techniques which help developers to overcome the complexity of software development by constructing models of software systems in early design stages. It uses one of the leading formal methods, VDM (Vienna Development Method), and combines training in the formalism with industry-strength tool support and examples derived from real industrial applications. The principles taught here also apply to many of the current generation of formal methods. This second edition has been updated to include advanced online tool support for formal modelling as well as up-to-date reports on real commercial applications in areas as diverse as business information systems and firmware design.

Dynamic Models in Biology

Author: Stephen P. Ellner,John Guckenheimer

Publisher: Princeton University Press

ISBN: 1400840961

Category: Science

Page: 352

View: 2782


From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.

Simulation of Dynamic Systems with MATLAB and Simulink, Second Edition

Author: Harold Klee,Randal Allen

Publisher: CRC Press

ISBN: 1439884781

Category: Technology & Engineering

Page: 815

View: 1124


"... a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. ... particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced treatment of the subject for researchers and simulation professionals." —From the Foreword by Chris Bauer, PhD, PE, CMSP Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice—but explosive growth in the field requires a new learning approach. A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB® and Simulink®—including access to downloadable M-files and model files—enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study. More universities are offering courses—as well as masters and Ph.D programs—in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.

Analytical Methods for Dynamic Modelers

Author: Hazhir Rahmandad,Rogelio Oliva,Nathaniel D. Osgood,George Richardson

Publisher: MIT Press

ISBN: 0262331438

Category: Business & Economics

Page: 448

View: 6714


Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox.The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises.ContributorsWenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gönenç Yücel

Modeling and Control of Discrete-event Dynamic Systems

with Petri Nets and Other Tools

Author: Branislav Hrúz,MengChu Zhou

Publisher: Springer Science & Business Media

ISBN: 1846288770

Category: Science

Page: 342

View: 5254


Discrete-event dynamic systems (DEDs) permeate our world. They are of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking. This book begins with the mathematical basics required for the study of DEDs and moves on to present various tools used in their modeling and control. Industrial examples illustrate the concepts and methods discussed, making this book an invaluable aid for students embarking on further courses in control, manufacturing engineering or computer studies.

Spacecraft Dynamics and Control

The Embedded Model Control Approach

Author: Enrico Canuto,Carlo Novara,Donato Carlucci,Carlos Perez Montenegro,Luca Massotti

Publisher: Butterworth-Heinemann

ISBN: 0081017952

Category: Technology & Engineering

Page: 790

View: 5610


Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems. The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control. Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability. Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations. Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations. The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor. Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application. Simulated results and their graphical plots are developed through MATLAB/Simulink code.

System Dynamics

Modelling and Simulation

Author: Bilash Kanti Bala,Fatimah Mohamed Arshad,Kusairi Mohd Noh

Publisher: Springer

ISBN: 9811020450

Category: Business & Economics

Page: 278

View: 7738


This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.

Principles of System Identification

Theory and Practice

Author: Arun K. Tangirala

Publisher: CRC Press

ISBN: 143989602X

Category: Technology & Engineering

Page: 908

View: 8189


Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.

The Multibody Systems Approach to Vehicle Dynamics

Author: Michael Blundell,Damian Harty

Publisher: Elsevier

ISBN: 0080994288

Category: Technology & Engineering

Page: 768

View: 8499


Filling the gaps between subjective vehicle assessment, classical vehicle dynamics and computer-based multibody approaches, The Multibody Systems Approach to Vehicle Dynamics offers unique coverage of both the virtual and practical aspects of vehicle dynamics from concept design to system analysis and handling development. The book provides valuable foundation knowledge of vehicle dynamics as well as drawing on laboratory studies, test-track work, and finished vehicle applications to gel theory with practical examples and observations. Combined with insights into the capabilities and limitations of multibody simulation, this comprehensive mix provides the background understanding, practical reality and simulation know-how needed to make and interpret useful models. New to this edition you will find coverage of the latest tire models, changes to the modeling of light commercial vehicles, developments in active safety systems, torque vectoring, and examples in AView, as well as updates to theory, simulation, and modeling techniques throughout. Unique gelling of foundational theory, research findings, practical insights, and multibody systems modeling know-how, reflecting the mixed academic and industrial experience of this expert author team Coverage of the latest models, safety developments, simulation methods, and features bring the new edition up to date with advances in this critical and evolving field

Seeing the Forest for the Trees

A Manager's Guide to Applying Systems Thinking

Author: Dennis Sherwood

Publisher: Nicholas Brealey International

ISBN: 1857884973

Category: Business & Economics

Page: 368

View: 2314


How to use Systems Thinking to improve your business.

Systems Thinking For Social Change

A Practical Guide to Solving Complex Problems, Avoiding Unintended Consequences, and Achieving Lasting Results

Author: David Peter Stroh

Publisher: Chelsea Green Publishing

ISBN: 1603585818

Category: Business & Economics

Page: 264

View: 2465


Donors, leaders of nonprofits, and public policy makers usually have the best of intentions to serve society and improve social conditions. But often their solutions fall far short of what they want to accomplish and what is truly needed. Moreover, the answers they propose and fund often produce the opposite of what they want over time. We end up with temporary shelters that increase homelessness, drug busts that increase drug-related crime, or food aid that increases starvation. How do these unintended consequences come about and how can we avoid them? By applying conventional thinking to complex social problems, we often perpetuate the very problems we try so hard to solve, but it is possible to think differently, and get different results. Systems Thinking for Social Change enables readers to contribute more effectively to society by helping them understand what systems thinking is and why it is so important in their work. It also gives concrete guidance on how to incorporate systems thinking in problem solving, decision making, and strategic planning without becoming a technical expert. Systems thinking leader David Stroh walks readers through techniques he has used to help people improve their efforts to end homelessness, improve public health, strengthen education, design a system for early childhood development, protect child welfare, develop rural economies, facilitate the reentry of formerly incarcerated people into society, resolve identity-based conflicts, and more. The result is a highly readable, effective guide to understanding systems and using that knowledge to get the results you want.

Dynamic Systems Biology Modeling and Simulation

Author: Joseph DiStefano III

Publisher: Academic Press

ISBN: 0124104932

Category: Science

Page: 884

View: 6992


Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics; PLUS ....... The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of “math modeling” with life sciences. Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization. Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models. A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course. Importantly, the slides are editable, so they can be readily adapted to a lecturer’s personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content. The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]

Strategic Management Dynamics

Author: Kim Warren

Publisher: John Wiley & Sons

ISBN: 0470060670

Category: Business & Economics

Page: 696

View: 6134


Award winning author Kim Warren presents his new book: Strategic Management Dynamics – a complete framework in the field of Strategic Management. Strategic Management Dynamics builds on, and goes substantially beyond the existing strategy textbooks with its focus on understanding and managing how organisations perform over time. Based on simple but powerful underlying principles, the book both lays out a comprehensive approach to strategy analysis, design and delivery, and connects with established frameworks in the field. In Strategic Management Dynamics Kim Warren provides a valuable teaching resource, which can be used as a core textbook to bring strategy to life. With numerous examples from different sectors, the book is supported by a rich variety of simulation–based learning materials that are essential if strategy principles are to be experienced, rather than just discussed. For those who have already learned about strategy, this book provides an important update and extension of their knowledge. Key Features: Many simulation models to demonstrate dynamics principles in strategy as well as in marketing, human–resource management, R&D, operations management and other functions ideal for class exercises and assignments. A detailed worked example built up from chapter to chapter, illustrating the key frameworks of strategy dynamics analysis. Extensive discussion of established strategy frameworks, adapted to demonstrate implications for how organisations perform over time. Numerous academic and managerial references as useful supplements in degree courses and executive education. End–of–chapter questions and exercises, supported by detailed worksheets.